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You will be updated with latest job alerts via emailAbout the Opportunity
The Center for Drug Discovery in association with the Bouve College of Health Sciences Department of Pharmaceutical Sciences Khoury School of Computer Sciences and Professor Lei Xie seek to hire Postdoctoral Research Associates to train in and oversee in interdisciplinary projects involving AI algorithm development physiologically based pharmacokinetics computational drug design protein structure modeling and simulations target-based and phenotype-based compound screening single cell data analysis and modeling medical imaging processing Natural Language Processing and Electronic Medical Record (EMR) data mining. Prior experience in deep learning biophysics or omics data analysis is essential. Preference will be given to applicants with prior training in Computer Science Computational Biology and Computational Biophysics.
Extensive training opportunities cover all aspects of the drug discovery process. The postdoctoral scholar will receive professional development training gain valuable networking experience and collaborate with scientists in The Center for Drug Discovery Bouve College of Health Sciences Khoury School of Computer Sciences and the Institute of Experiential AI . They will also have access to personnel support including graduate and undergraduate students who will assist in conducting research projects. Additionally the postdoctoral scholar will have the opportunity to lead manuscript and grant writing and submit publications as the primary author.
Responsibilities:
Effectively design implement and evaluate machine learning and computational methods
Act as key member of a multidisciplinary drug discovery project team assisting with development of project strategy and analysis and communication of complex data
Manage internal and external resources to deliver quality data in an efficient manner
Contribute to patent report and scientific publication writing
Maintain a broad awareness of the scientific and technological landscapes of Artificial intelligence machine learning omics data integration and drug discovery and maintain knowledge of literature related to the areas of research pursued
Mentor and train junior team members
Foster a culture of scientific excellence teamwork and rigorous innovation
Qualifications:
Ph.D. in Computer Science Computational Biology Bioinformatics Pharmaceutical Sciences or equivalent
In-depth knowledge and hands-on experience in machine learning deep learning or computational drug discovery
Experience in processing and analyzing protein structure chemical genomics or single cell omics data
Ability to communicate with experimental chemists and biologists
Ability to develop research plans for executing strategy data analysis/interpretation and presentation of results
Ability to work effectively in a highly integrated team environment
Highly collaborative self-motivated and team-oriented individual
Excellent written and oral communication skills and demonstrated ability to write peer reviewed quality work or invention disclosures for patent applications technical reports.
Consistent track record of accomplishments (e.g. peer-reviewed publications and/or patents).
Experience with multi-scale modeling systems pharmacology or pharmacokinetics/pharmacodynamics (PK/PD) modeling.
Prior research in EMR data mining and imaging processing
Familiarity with cloud computing and high-performance computing (HPC) environments.
Interest in entrepreneurship technology transfer and translational research particularly in AI-driven drug discovery and biotech startups.
Position Type
ResearchAdditional Information
Northeastern University considers factors such as candidate work experience education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical vision dental paid time off tuition assistance wellness & life retirement- as well as commuting & transportation. Visit for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race religion color national origin age sex sexual orientation disability status or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
108SExpected Hiring Range:
$59425.00 - $83935.00With the pay range(s) shown above the starting salary will depend on several factors which may include your education experience location knowledge and expertise and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.
Required Experience:
IC
Full-Time